split_vec: Segment data
In craddm/eegUtils: Utilities for Electroencephalographic (EEG) Analysis
View source: R/frequency_analysis.R
split_vec R Documentation
Segment data
Description
Split data into segments for Welch PSD. Any leftover data is discarded (i.e.
if seg_length is 256 and signal length is 400, only 1 segment is returned)
Usage
split_vec(vec, seg_length, overlap, detrend = "mean")
Arguments
vec
Data vector to be split up into segments.
seg_length
Length of segments to be FFT'd (in samples).
overlap
Overlap between segments (in samples).
detrend
Detrend segments. Defaults to "mean" - removes mean from each
segment. Anything else turns off detrending.
Author(s)
Matt Craddock matt@mattcraddock.com
craddm/eegUtils documentation built on March 24, 2022, 9:17 a.m.
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View source: R/frequency_analysis.R
| split_vec | R Documentation |
Segment data
Description
Split data into segments for Welch PSD. Any leftover data is discarded (i.e. if seg_length is 256 and signal length is 400, only 1 segment is returned)
Usage
split_vec(vec, seg_length, overlap, detrend = "mean")
Arguments
vec |
Data vector to be split up into segments. |
seg_length |
Length of segments to be FFT'd (in samples). |
overlap |
Overlap between segments (in samples). |
detrend |
Detrend segments. Defaults to "mean" - removes mean from each segment. Anything else turns off detrending. |
Author(s)
Matt Craddock matt@mattcraddock.com
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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